FreshRemote.Work

Senior Data Scientist

US-Remote

At 2U, we are all in on purpose. We are motivated by our mission – to eliminate the back row in education – and connected by our shared passion to deliver world-class digital education at scale. As the parent company of edX, the world’s leading online learning platform, 2U powers more than 4,000 online higher education offerings – from free courses to full degrees. Together with more than 230 colleges, universities, and corporate partners, we are helping to unlock human potential.

What We’re Looking For:

The Senior Data Scientist will lead advanced analytical research, development, and implementation. This is a highly quantitative role that requires elite analytical aptitude, strong programming skills, and intellectual curiosity. We are looking for someone who has a history of using data science to solve business problems, has extensive experience running experiments at scale in enterprise settings, is comfortable training and evaluating machine learning models in production, and has a proven ability to be a technical leader.

Responsibilities Include, But Are Not Limited To:

  • Design and execute business and technical processes needed for experimentation to support an array of business problems from marketing to survey analytics, including experiment ideation, experimental design, monitoring, data analysis, code review, and communication of results
  • Collaborate with stakeholders and product managers to gain domain knowledge, and clarify and define requirements. Independently plan and estimate development tasks, short-term projects and long-term plans across projects. Provide feedback and mentorship to team members and improve team operations
  • Design, develop and apply machine learning algorithms, automated decision engines and other models
  • Ad hoc statistical analysis, reporting and visualization as needed
  • Partner with engineers to productionize code, schedule jobs, and integrate into 2U software ecosystem

Things That Should Be In Your Background:

  • Degree in data science, statistics, mathematics, computer science, economics or other quantitative field required; Graduate degree preferred
  • 7+ years of experience running online controlled experiments at scale
  • 5+ years of experience applying advanced analytic techniques in classification, regression, optimization or natural language processing in production settings
  • Expert knowledge of experimental design and evaluation frameworks (i.e. A/B Tests, Multi-Armed Bandits)
  • Expert knowledge of applied statistics and machine learning techniques
  • Expert knowledge of either R or Python
  • Proficient in SQL
  • Proficient with extracting data from different database architectures

Benefits & Culture

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